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# SAS Essential Training: 1 Descriptive Analysis for Healthcare Research

### Overview

Explore the fundamentals of SAS as you learn how to conduct a descriptive analysis of a health survey dataset.

After literally decades on the scene, SAS is still an industry leader in the world of big data. If healthcare analytics piques your interestÃ¢Â€Â”and you want to get up and running with this venerable data analytics platformÃ¢Â€Â”then this course is for you. Join instructor Monika Wahi as she steps through how to conduct a descriptive analysis of a health survey dataset and present the results in plots and tables. Monika covers how to import a dataset from SAS *.xpt format using the XPORT command; edit datasets to add new categorical and continuous variables; conduct chi-square tests, t-tests, and analyses of variance (ANOVAs); generate a descriptive analysis with either a categorical and a continuous dependent variable; and more.

### Syllabus

Introduction
• SAS essential training: Descriptive analysis
• What you should know
1. Preparing for Analysis
• BRFSS dataset and documentation
• Hypotheses for the demonstration
• Explanation of SAS XPT
• Reading in SAS XPT file
• KEEP and DROP commands
• Reviewing confounders
2. Applying Exclusions
• Alternatives to labels and formats
• Using PROC FREQ to prepare
• Removing rows by categorical criteria
• Removing rows by continuous criteria
• Removing rows where values are missing
• Observations from the log file
• Updating data reduction documentation
3. Developing the Analytic Dataset
• Recoding a grouped variable
• Recoding the smoking variable
• Creating flags: Indicator variables
• Grouping a continuous variable
• Cleaning a continuous variable
• Completing the analytic dataset
• Bar chart
• Pie chart
• Histogram
• Box and whisker plot
• Scatter plot
5. Categorical Descriptive Analysis
• Choosing an analytic approach
• Creating a categorical table shell
• PROC FREQ with options
• Putting results in a table
• Chi-square and Fisherâ€™s exact tests
6. Continuous Descriptive Analysis
• Normal plot
• Creating a continuous table shell
• PROC SORT and PROC UNIVARIATE
• Transferring continuous results to a table
• Conducting t-tests
• Conducting one-way ANOVAs
7. Alternative Approaches to Descriptive Analysis
• Tricks in Excel
• PROC TABULATE for categorical analysis
• PROC TABULATE for continuous analysis
• Explanation of the ODS
• Example of ODS and PROC FREQ
• Example of ODS with PROC UNIVARIATE
8. Tips and Tricks
• Using weights with PROC FREQ
• Recoding into quartiles
• Creating an index variable
• Using the Import wizard
• Sorting and merging
• Introduction to PROC SQL
Conclusion
• Review of the process
• Next steps

Monika Wahi

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